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Copy file name to clipboardExpand all lines: base/ndarray/README.md
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@@ -92,6 +92,7 @@ The namespace exposes the following APIs:
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- <spanclass="signature">[`dnanmskminabs( arrays )`][@stdlib/stats/base/ndarray/dnanmskminabs]</span><spanclass="delimiter">: </span><spanclass="description">compute the minimum absolute value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanmskrange( arrays )`][@stdlib/stats/base/ndarray/dnanmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a one-dimensional double-precision floating-point ndarray according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanrange( arrays )`][@stdlib/stats/base/ndarray/dnanrange]</span><spanclass="delimiter">: </span><spanclass="description">compute the range of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanrangeabs( arrays )`][@stdlib/stats/base/ndarray/dnanrangeabs]</span><spanclass="delimiter">: </span><spanclass="description">compute the range of absolute values of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanstdev( arrays )`][@stdlib/stats/base/ndarray/dnanstdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanstdevch( arrays )`][@stdlib/stats/base/ndarray/dnanstdevch]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
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- <spanclass="signature">[`dnanstdevpn( arrays )`][@stdlib/stats/base/ndarray/dnanstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a two-pass algorithm.</span>
@@ -211,6 +212,7 @@ The namespace exposes the following APIs:
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- <spanclass="signature">[`stdevtk( arrays )`][@stdlib/stats/base/ndarray/stdevtk]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a one-dimensional ndarray using a one-pass textbook algorithm.</span>
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- <spanclass="signature">[`stdevwd( arrays )`][@stdlib/stats/base/ndarray/stdevwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a one-dimensional ndarray using Welford's algorithm.</span>
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- <spanclass="signature">[`stdevyc( arrays )`][@stdlib/stats/base/ndarray/stdevyc]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a one-dimensional ndarray using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <spanclass="signature">[`svariance( arrays )`][@stdlib/stats/base/ndarray/svariance]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a one-dimensional single-precision floating-point ndarray.</span>
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- <spanclass="signature">[`sztest( arrays )`][@stdlib/stats/base/ndarray/sztest]</span><spanclass="delimiter">: </span><spanclass="description">compute a one-sample Z-test for a one-dimensional single-precision floating-point ndarray.</span>
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- <spanclass="signature">[`sztest2( arrays )`][@stdlib/stats/base/ndarray/sztest2]</span><spanclass="delimiter">: </span><spanclass="description">compute a two-sample Z-test for two one-dimensional single-precision floating-point ndarrays.</span>
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- <spanclass="signature">[`variance( arrays )`][@stdlib/stats/base/ndarray/variance]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a one-dimensional ndarray.</span>
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